Correction: Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation.

[This corrects the article DOI: 10.2196/58342.].

Rehabilitation Treatment of a Patient With Total Humeral Endoprosthetic Replacement.

Total humeral endoprosthetic replacement (THR) is a rare surgery for malignant humeral bone tumors. Studies focusing on its surgical methods and functional status are limited. Furthermore, rehabilitation treatment after THR has not been reported. Therefore, this case report aimed to investigate its postoperative rehabilitation treatment and reinstatement. A 69-year-old woman was diagnosed with chondrosarcoma of her left humerus. THR was performed the day following patient admission. The wide resection caused the loss of her left shoulder motor function. She had a left ulnar nerve disorder and carpal tunnel syndrome. Rehabilitation treatments such as joint range of motion training were initiated on postoperative day (POD) 1. We designed a shoulder abductor brace to maintain her left shoulder in an abducted and flexed position so she could use her left hand effectively. The manual muscle testing scores for elbow joint movements gradually improved. On POD47, she was transferred to a convalescent rehabilitation hospital to receive training in activities of daily living and barber work. The patient was discharged on POD107. The Disabilities of the Arm, Shoulder, and Hand score improved from 86.2 (POD7) to 17.2 (POD107). She continued outpatient rehabilitation and reinstated work on POD143. The use of a brace and seamless rehabilitation from the acute phase to convalescence and community-based rehabilitation enabled the patient with THR to return to work. This study suggests that precise assessment of the disorders and consecutive rehabilitation treatment with a brace should be considered after THR.

Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation.

BACKGROUND: The integration of artificial intelligence (AI), particularly deep learning models, has transformed the landscape of medical technology, especially in the field of diagnosis using imaging and physiological data. In otolaryngology, AI has shown promise in image classification for middle ear diseases. However, existing models often lack patient-specific data and clinical context, limiting their universal applicability. The emergence of GPT-4 Vision (GPT-4V) has enabled a multimodal diagnostic approach, integrating language processing with image analysis. OBJECTIVE: In this study, we investigated the effectiveness of GPT-4V in diagnosing middle ear diseases by integrating patient-specific data with otoscopic images of the tympanic membrane. METHODS: The design of this study was divided into two phases: (1) establishing a model with appropriate prompts and (2) validating the ability of the optimal prompt model to classify images. In total, 305 otoscopic images of 4 middle ear diseases (acute otitis media, middle ear cholesteatoma, chronic otitis media, and otitis media with effusion) were obtained from patients who visited Shinshu University or Jichi Medical University between April 2010 and December 2023. The optimized GPT-4V settings were established using prompts and patients' data, and the model created with the optimal prompt was used to verify the diagnostic accuracy of GPT-4V on 190 images. To compare the diagnostic accuracy of GPT-4V with that of physicians, 30 clinicians completed a web-based questionnaire consisting of 190 images. RESULTS: The multimodal AI approach achieved an accuracy of 82.1%, which is superior to that of certified pediatricians at 70.6%, but trailing behind that of otolaryngologists at more than 95%. The model's disease-specific accuracy rates were 89.2% for acute otitis media, 76.5% for chronic otitis media, 79.3% for middle ear cholesteatoma, and 85.7% for otitis media with effusion, which highlights the need for disease-specific optimization. Comparisons with physicians revealed promising results, suggesting the potential of GPT-4V to augment clinical decision-making. CONCLUSIONS: Despite its advantages, challenges such as data privacy and ethical considerations must be addressed. Overall, this study underscores the potential of multimodal AI for enhancing diagnostic accuracy and improving patient care in otolaryngology. Further research is warranted to optimize and validate this approach in diverse clinical settings.

Clinical applicability of automated tractography for stroke rehabilitation: Z-score conversion of fractional anisotropy.

[Purpose] To expand the applicability of diffusion-tensor tractography fractional anisotropy for stroke rehabilitation, this study aimed to provide references for representative neural tracts from non-lesioned hemispheres. Therefore, we applied the assessment of neural integrity to representative stroke patients using Z-score conversion. [Participants and Methods] Fractional anisotropy values were assessed in neural tracts, including the corticospinal tract, inferior fronto-occipital fasciculus, uncinate fasciculus, and anterior thalamic radiation, of stroke patients receiving acute care. [Results] Data were collected from 60 patients for the non-lesioned right hemisphere and 68 patients for the non-lesioned left hemisphere. Mean fractional anisotropy values in the corticospinal tract and inferior fronto-occipital fasciculus were notably elevated, reaching approximately 0.6 and 0.5, respectively. The mean fractional anisotropy values for other neural tracts were approximately 0.4, and, the overall standard deviations were approximately 0.04. In two typical stroke patients assessed using Z-scores, the scores in the corticospinal tract corresponded to the severity of the hemiparesis. The scores in the anterior thalamic radiation and inferior fronto-occipital fasciculus were associated with more significant brain dysfunction, including inattention and aphasia. [Conclusion] In this study, the Z-score findings related to stroke symptoms align with those reported in the literature, indicating the appropriateness of the methodology used and its potential in future applications.

The Assessment and Response of Rehabilitation Professionals to Sudden Deterioration in Symptoms: An Analysis of the National Database in Japan.

OBJECTIVE: There are few analyses of the current status of and responses to acute deteriorations encountered by physiotherapists, occupational therapists, and speech-language pathologists (rehabilitation professions [RPs]). The purpose of this study was to analyze the responses of RPs to acute deterioration in patients using the functional resonance analysis method (FRAM) based on the descriptions in "the Medical Accident Database". METHODS: Subjects were 413 cases with medical incidents reported by RPs to the database from 2012 to 2021. Life-threatening cases with changes in consciousness, circulation, and respiration were selected. Descriptions regarding findings assessed by RPs and support team, and requests for assistance were extracted. We also attempted to construct appropriate respond in RPs by using the FRAM. RESULTS: Thirty-nine cases of acute deterioration were included in the analysis, and descriptions by RPs of consciousness (35 cases), circulation (18 cases), and respiration (36 cases) were identified. Blood pressure and percutaneous oxygen saturation measurement were frequently presented in the assessment by RPs, whereas the support team assessed cardiac arrest and respiratory arrest in high frequency. The FRAM analysis indicated that appropriate and rapid post-response by RPs requires patient information in prior, appropriate assessment and integration/interpretation. CONCLUSION: We attempted to identify problems analyzing the response by RPs to acute deterioration using the database and construct an appropriate response model. It resulted that RPs need to obtain patient information in advance and integrate/interpret it appropriately based on accurate assessment of conscious, circulation and respiration for rapid response. A model including integration/interpretation for appropriate post-response by RPs was constructed using the FRAM.

Swallowing Rehabilitation With Neuromuscular Electrical Stimulation for Sarcopenic Dysphagia: A Case Report.

Sarcopenic dysphagia is defined as dysphagia caused by sarcopenia of the whole body and swallowing-related muscles. We present a case of sarcopenic dysphagia with improved swallowing function after strength training of swallowing-related muscles using neuromuscular electrical stimulation (NMES). A 78-year-old man was admitted to our hospital with an intraductal papillary mucinous tumor of the pancreatic duct. After admission, the patient developed aspiration pneumonia and was placed on strict bed rest without oral intake, which resulted in progressive malnutrition. At the start of swallowing rehabilitation, he had whole-body sarcopenia, nutritional impairment, and weakness in swallowing-related muscles, with a maximum tongue pressure of 21.4 kPa and an opening force of 5.1 kg. In the videofluoroscopic swallowing study, he aspirated 3 cc of a moderately thick liquid. Consequently, as part of swallowing rehabilitation, strengthening training of swallowing-related muscles with NMES was undertaken for about three weeks. As a result, the maximum tongue pressure and opening force improved to 28.4 kPa and 6.8 kg, respectively. A subsequent videofluoroscopic swallowing study showed no obvious aspiration during any procedure. The patient was discharged on the 86th day on a regular diet. As a component of swallowing rehabilitation, NMES may offer therapeutic benefits for patients with sarcopenic dysphagia.

Long-term Health-related Quality of Life and Physical Function of COVID-19 Survivors with ICU-acquired Weakness.

Objectives: This study examined the long-term health-related quality of life (HRQOL) and physical function of coronavirus 2019 (COVID-19) survivors diagnosed with intensive care unit-acquired weakness (ICU-AW). The correlation between muscle weakness at ICU discharge and HRQOL was assessed. Methods: A retrospective study was conducted on COVID-19 patients admitted to the ICU at Hyogo Medical University Hospital between January 2021 and November 2021. The HRQOL was evaluated using the SF-36 questionnaire, and physical function, including muscle strength assessed by the Medical Research Council Sum Score (MRC-SS), grip strength, and the 6-min walk distance (6MWD), were assessed 18 months after the onset. ICU-AW was diagnosed in patients with an MRC-SS of less than 48 at ICU discharge. We investigated the correlations between the MRC-SS at ICU discharge and the long-term clinical outcomes. Results: We included 26 patients, with 13 having ICU-AW. In the long-term follow-up, the ICU-AW group had significantly lower scores than the no ICU-AW group in the SF-36 subscales such as Physical Functioning (PF), Role Limitation-Physical (RP), Bodily Pain (BP), Vitality (VT), Social Functioning (SF), and Role Limitation-Emotional (RE), as well as in the Physical Component Summary Score (PCS). The muscle strength was also decreased in the ICU-AW group. The MRC-SS at ICU discharge was positively correlated with PF, RP, BP, SF, RE, and PCS in SF-36 at the 18-month follow-up. Conclusions: COVID-19 survivors with ICU-AW experienced a long-term decline in HRQOL, and muscle weakness at ICU discharge was correlated with the long-term HRQOL.

Impact of functional independence and sociodemographic factors on post-stroke discharge destination in a super-aged rural community in Japan.

Objective: This study aimed to clarify the factors influencing the discharge destination of stroke patients in a super-aged rural community in Japan, focusing on functional independence and sociodemographic factors. Patients and Methods: We enrolled patients recovering from stroke with supratentorial lesions who were admitted to our convalescent rehabilitation hospital. The motor components of the Functional Independence Measure (FIM-motor) were assessed for each patient at admission and discharge as explanatory variables. An increase in the FIM-motor scores during hospitalization was also recorded. Additionally, sociodemographic data such as sex, age, and clinical characteristics, such as type of stroke, history of stroke, days from stroke onset to transfer to our convalescent rehabilitation hospital, total duration of hospital stay including acute care, number of co-resident household members, living with a spouse, and number of children were collected. As target values, discharge outcomes were categorized into two groups: returning home and going to a nursing home. Logistic regression analysis was performed. Results: The study sample comprised 160 patients (mean age ± standard deviation, 74.80 ± 12.19 years). Of these, 114 were discharged to their homes, and 46 were transferred to nursing homes. The results of multivariate logistic regression analysis indicated that higher FIM-motor scores at discharge, greater number of co-resident household members, and living with one's spouse were the most powerful predictors of a higher probability of returning home. Conclusion: This study demonstrated that functional independence levels and the number of co-resident household members were crucial factors in predicting the discharge destination of patients after stroke in a super-aged rural community in Japan. These findings imply that for older patients with lower functional independence, supportive social networks are essential for home discharge, offering clues for providing long-term healthcare in super-aged rural communities worldwide.

Outcome Prediction by Combining Corticospinal Tract Lesion Load with Diffusion-tensor Fractional Anisotropy in Patients after Hemorrhagic Stroke.

Objectives: The objective of this study was to evaluate the predictive precision of combining the corticospinal tract lesion load (CST-LL) with the diffusion-tensor fractional anisotropy of the corticospinal tract (CST-FA) in the lesioned hemispheres regarding motor outcomes. Methods: Patients with putaminal and/or thalamic hemorrhage who had undergone computed tomography (CT) soon after onset in our hospital were retrospectively enrolled. The CST-LL was calculated after registration of the CT images to a standard brain. Diffusion-tensor imaging was performed during the second week after onset. Standardized automated tractography was employed to calculate the CST-FA. Outcomes were assessed at discharge from our affiliated rehabilitation facility using total scores of the motor component of the Stroke Impairment Assessment Set (SIAS-motor total; null to full, 0 to 25). Multivariate regression analysis was performed with CST-LL and CST-FA as explanatory variables and SIAS-motor total as a target value. Results: Twenty-five patients participated in this study. SIAS-motor total ranged from 0 to 25 (median, 17). CST-LL ranged from 0.298 to 7.595 (median, 2.522) mL, and the lesion-side CST-FA ranged from 0.211 to 0.530 (median, 0.409). Analysis revealed that both explanatory variables were detected as statistically significant contributory factors. The estimated t values indicated that the contributions of these two variables were almost equal. The obtained regression model accounted for 63.9% of the variability of the target value. Conclusions: Incorporation of the CST-LL with the lesion-side CST-FA enhances the precision of the stroke outcome prediction model.

Estimating the minimal clinically important difference of upper extremity outcome measures in chronic stroke patients with moderate to severe impairment: a cross-sectional study.

BACKGROUND: Approximately 70% of chronic stroke patients experience upper extremity (UE) functional impairments, and UE outcome measures are often used as quality-of-life indicators. OBJECTIVE: The purpose of this study was to estimate minimal clinically important difference (MCID) values for UE outcome measures in chronic stroke patients with moderate to severe UE hemiplegia. METHODS: This study was a cross-sectional study, conducted as a secondary analysis of data from the ReoGo-J study, a multicenter, prospective, randomized, parallel-group trial of robot-assisted self-training for UE hemiplegia in chronic stroke. The patients were randomized to 1 of 3 treatment groups. Treatment was provided 3 times a week for 10 weeks, and UE outcome measures were evaluated before and after treatment. The anchor-based method was used to estimate MCID values for UE outcome measures, with Stroke Impact Scale (SIS) subscales as anchors. MCID values were estimated by identifying cutoff values in a receiver operating characteristic (ROC) curve. RESULTS: Between-group comparisons of UE outcome measures, based on the clinically important difference (CID) values of SIS subscales, revealed significant differences in both the Amount of Use (AOU) and Quality of Movement (QOM) components of the Motor Activity Log (MAL)-14. The estimated MCID values were 0.89 for the AOU component and 0.77 for the QOM component. CONCLUSIONS: The estimated MCID values for the MAL-14 not only add information regarding the clinical characteristics of the MAL-14 but also facilitate interpretations of changing scores in chronic stroke patients with moderate to severe UE hemiplegia undergoing rehabilitation therapy. STUDY REGISTRATION: https://www.umin.ac.jp/ctr/index.htm (UMIN000022509; 1 July 2016).

Applicability of fractional anisotropy from standardized automated tractography for outcome prediction of patients after stroke.

[Purpose] Diffusion-tensor fractional anisotropy has been used for outcome prediction in stroke patients. We assessed the clinical applicability of the two major fractional anisotropy methodologies-fractional anisotropy derived from segmentation maps in the standard brain (region of interest) and fractional anisotropy derived from standardized automated tractography-in relation to outcomes. [Participants and Methods] The study design was a retrospective survey of medical records collected from October 2021 to September 2022. Diffusion-tensor imaging was conducted in the second week after stroke onset. Outcomes were assessed using the total score of the motor component of the Stroke Impairment Assessment Set (null to full, 0 to 25). Correlations between fractional anisotropy and the outcomes were then assessed. [Results] Fourteen patients with hemorrhagic stroke were sampled. The fractional anisotropy from standardized automated tractography of the corticospinal tract on the lesion side (mean ± standard deviation, 0.403 ± 0.070) was significantly and tightly correlated (r=0.813) with the outcomes (13.4 ± 9.2), whereas the fractional anisotropy from a region of interest set in the cerebral peduncle on the lesion side (0.548 ± 0.064) was not significantly correlated with the outcomes (r=0.507). [Conclusion] The findings suggest that fractional anisotropy derived from standardized automated tractography can be more applicable to outcome prediction than that derived from a region of interest defined in the standard brain.

Japanese Clinical Practice Guidelines for Rehabilitation in Critically Ill Patients 2023 (J-ReCIP 2023).

Providing standardized, high-quality rehabilitation for critically ill patients is a crucial issue. In 2017, the Japanese Society of Intensive Care Medicine (JSICM) promulgated the "Evidence-Based Expert Consensus for Early Rehabilitation in the Intensive Care Unit" to advocate for the early initiation of rehabilitations in Japanese intensive care settings. Building upon this seminal work, JSICM has recently conducted a rigorous systematic review utilizing the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology. This endeavor resulted in the formulation of Clinical Practice Guidelines (CPGs), designed to elucidate best practices in early ICU rehabilitation. The primary objective of this guideline is to augment clinical understanding and thereby facilitate evidence-based decision-making, ultimately contributing to the enhancement of patient outcomes in critical care settings. No previous CPGs in the world has focused specifically on rehabilitation of critically ill patients, using the GRADE approach. Multidisciplinary collaboration is extremely important in rehabilitation. Thus, the CPGs were developed by 73 members of a Guideline Development Group consisting of a working group, a systematic review group, and an academic guideline promotion group, with the Committee for the Clinical Practice Guidelines of Early Mobilization and Rehabilitation in Intensive Care of the JSICM at its core. Many members contributed to the development of the guideline, including physicians and healthcare professionals with multiple and diverse specialties, as well as a person who had been patients in ICU. Based on discussions among the group members, eight important clinical areas of focus for this CPG were identified. Fourteen important clinical questions (CQs) were then developed for each area. The public was invited to comment twice, and the answers to the CQs were presented in the form of 10 GRADE recommendations and commentary on the four background questions. In addition, information for each CQ has been created as a visual clinical flow to ensure that the positioning of each CQ can be easily understood. We hope that the CPGs will be a useful tool in the rehabilitation of critically ill patients for multiple professions.

Automated Tractography for the Assessment of Aphasia in Acute Care Stroke Rehabilitation: A Case Series.

Background: Aphasia is a common disorder among stroke patients. Assessment of aphasia is essential for scheduling appropriate rehabilitative treatment. Although this is conventionally accomplished using neuropsychological test batteries, these tests are not always accessible because of attention and/or consciousness disturbances during acute care. To overcome this issue, we have introduced a newly developed automated tractography known as XTRACT. Cases: Diffusion-tensor images were acquired from three patients on days 10-14. Brain images were processed by XTRACT, which automatically extracts neural tracts using standardized protocols. Fractional anisotropy (FA) values were then bilaterally evaluated in the following neural tracts associated with aphasia: arcuate fasciculus, inferior fronto-occipital fasciculus, middle longitudinal fasciculus, inferior longitudinal fasciculus, and uncinate fasciculus. Case 1 had word-finding difficulty on admission. FA values in the lesioned left hemisphere were not decreased in all tracts and this patient fully recovered during acute care. Case 2 had reduced spontaneous speech and a low FA value in the left arcuate fasciculus. Rehabilitative treatment was scheduled to improve the verbal output of sentences and word recall. Case 3 could not complete the conventional aphasia test battery because of attention disturbance. He had low FA values in all tracts in the left hemisphere. Rehabilitative treatment was designed to focus on both speaking and auditory comprehension. Discussion: Automated tractography enables quantitative assessment of the neural damage associated with aphasia, even in patients with attention and/or consciousness disturbances. This modality can aid in the assessment of aphasia and allows the planning of appropriate rehabilitative treatment.

Effect of Optimizing Medical Rehabilitation System for Patients with Coronavirus Disease 2019 Using the Functional Resonance Analysis Method.

Objectives: Coronavirus infection 2019 (COVID-19) is an indication for rehabilitation medicine, especially in severe cases. However, there has been no system analysis of safe and continuous provision of medical rehabilitation for COVID-19 patients. The aim of this study was to confirm the effectiveness of rehabilitation for severe COVID-19 and to analyze the optimization of the medical rehabilitation system using the Functional Resonance Analysis Method (FRAM). Methods: The subject of the analysis was the medical rehabilitation system itself, which had been implemented by the Rehabilitation Center of our hospital in response to the increased number of COVID-19 patients. In the FRAM analysis, Functions were identified, and their relationships were examined. Functions were established using a hierarchical cross-check by the authors. Patient outcomes resulting from optimization of the rehabilitation system were length of hospital stay, patient independence in daily living, and rehabilitation-related medical costs, and these were statistically validated. Results: In repeated optimizations of the rehabilitation system, the main issues were "handling of infected patients and isolation of usual clinical practice," "staff rotation," and "remote consultation". The modification of the medical rehabilitation system was associated with shorter hospital stays, shorter periods of time without prescription, faster improvement in independence of daily living, and lower rehabilitation-related medical costs. Conclusions: Optimization at each stage of medical rehabilitation resulted in positive effects on patient outcomes. FRAM is useful for identifying and the optimization of key functions.

Development of a program to determine optimal settings for robot-assisted rehabilitation of the post-stroke paretic upper extremity: a simulation study.

Robot-assisted therapy can effectively treat upper extremity (UE) paralysis in patients who experience a stroke. Presently, UE, as a training item, is selected according to the severity of the paralysis based on a clinician's experience. The possibility of objectively selecting robot-assisted training items based on the severity of paralysis was simulated using the two-parameter logistic model item response theory (2PLM-IRT). Sample data were generated using the Monte Carlo method with 300 random cases. This simulation analyzed sample data (categorical data with three difficulty values of 0, 1, and 2 [0: too easy, 1: adequate, and 2: too difficult]) with 71 items per case. First, the most appropriate method was selected to ensure the local independence of the sample data necessary to use 2PLM-IRT. The method was to exclude items with low response probability (maximum response probability) within a pair in the Quality of Compensatory Movement Score (QCM) 1-point item difficulty curve, items with low item information content within a pair in the QCM 1-point item difficulty curve, and items with low item discrimination. Second, 300 cases were analyzed to determine the most appropriate model (one-parameter or two-parameter item response therapy) to be used and the most favored method to establish local independence. We also examined whether robotic training items could be selected according to the severity of paralysis based on the ability of a person (θ) in the sample data as calculated by 2PLM-IRT. Excluding items with low response probability (maximum response probability) in a pair in the categorical data 1-point item difficulty curve was effective in ensuring local independence. Additionally, to ensure local independence, the number of items should be reduced to 61 from 71, indicating that the 2PLM-IRT was an appropriate model. The ability of a person (θ) calculated by 2PLM-IRT suggested that seven training items could be estimated from 300 cases according to severity. This simulation made it possible to objectively estimate the training items according to the severity of paralysis in a sample of approximately 300 cases using this model.

ICU-Acquired Weakness Complicated With Bilateral Foot Drop After Severe COVID-19: Successful Rehabilitation Approach and Long-Term Follow-Up.

Coronavirus disease 2019 (COVID-19) is associated with muscle and nerve injuries as a consequence of prolonged critical illness. We report here a case of intensive care unit-acquired weakness (ICU-AW) with bilateral peroneal nerve palsy after COVID-19. A 54-year-old male with COVID-19 was transferred to our hospital. He was treated by mechanical ventilation and veno-venous extracorporeal membrane oxygenation (VV-ECMO), from which he was successfully weaned. However, by day 32 of ICU admission, he had developed generalized muscle weakness with bilateral foot drop and was diagnosed with intensive care unit-acquired weakness complicated with bilateral peroneal nerve palsy. Electrophysiological examination showed a denervation pattern in the tibialis anterior muscles, indicating that the foot drop was unlikely to recover immediately. Gait training with customized ankle-foot orthoses (AFO) and muscle-strengthening exercises were started as part of a regimen that included a stay in a convalescent rehabilitation facility and outpatient rehabilitation. Seven months after onset, he returned to work, and 18 months after onset, he had improved to the same level of activities of daily living (ADLs) as before onset. Outcome prediction by electrophysiological examination, appropriate prescription of orthoses, and continuous rehabilitative treatment that focused on locomotion contributed to the successful outcome in this case.

Impact of skeletal muscle mass on functional prognosis in acute stroke: A cohort study.

INTRODUCTION: Changes in skeletal muscle mass affect physical performance in chronic stroke survivors. The skeletal muscle mass index is thus an important assessment factor in stroke; however, its value in the acute phase is unclear. OBJECTIVE: This study investigated the association between skeletal muscle mass and acute stroke outcome. DESIGN: This was a single-center cohort study design. PARTICIPANTS: A total of 189 consecutively hospitalized patients with acute stroke were included in the study. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The main outcome of the study was a good modified Rankin Scale (mRS) score at hospital discharge. We divided the participants into good (mRS score 0-2) and poor (mRS score 3-6) function groups. Logistic regression was performed to identify the factors associated with functional prognosis. RESULTS: Atrial fibrillation (odds ratio [OR], 14.95; 95% confidence interval [CI], 2.45-91.39; P = 0.003), pre-mRS (OR, 2.22; 95% CI, 1.05-4.68; P = 0.036), National Institutes of Health Stroke Scale (OR, 1.32; 95% CI, 01.12-1.56; P = 0.001), skeletal muscle mass index (OR, 0.31; 95% CI, 0.11-0.87; P = 0.027), and Lower Extremity Fugl-Meyer Assessment (OR, 0.68; 95% CI, 0.56-0.82; P = 0.000) were all independently associated with the functional prognosis of the patients included in the study. CONCLUSION: This study confirmed that skeletal muscle mass is a strong prognostic factor in acute stroke. Thus, prestroke skeletal muscle mass, along with stroke severity and lower limb paralysis, needs to be assessed to more accurately determine the prognosis of patients with stroke.

Brain regions associated with Brunnstrom and functional independence measure scores in patients after a stroke: a tract-based spatial statistics study.

[Purpose] We aimed to assess diffusion tensor fractional anisotropy to outline the brain regions associated with the long-term motor and cognitive functional outcomes of patients with stroke. [Participants and Methods] Eighty patients from our previous study were enrolled. Fractional anisotropy maps were acquired on days 14-21 after stroke onset, and tract-based spatial statistics were applied. Outcomes were scored using the Brunnstrom recovery stage and Functional Independence Measure motor and cognition components. Fractional anisotropy images were assessed in relation to outcome scores using the general linear model. [Results] For both the right (n=37) and left (n=43) hemisphere lesion groups, the corticospinal tract and the anterior thalamic radiation were most strongly associated with the Brunnstrom recovery stage. In contrast, the cognition component involved large regions encompassing the anterior thalamic radiation, superior longitudinal fasciculus, inferior longitudinal fasciculus, uncinate fasciculus, cingulum bundle, forceps major, and forceps minor. The results for the motor component were intermediate between those for the Brunnstrom recovery stage and those for the cognition component. [Conclusion] Motor-related outcomes were associated with fractional anisotropy decreases in the corticospinal tract, whereas cognitive outcomes were related to broad regions of association and commissural fibers. This knowledge will help scheduling appropriate rehabilitative treatments.

Applicability of automated tractography during acute care stroke rehabilitation.

[Purpose] To assess the clinical applicability of a novel automated tractography tool named XTRACT during acute stroke rehabilitation. [Participants and Methods] Three patients with left hemisphere stroke were sampled. Diffusion tensor images were acquired on the second week, and automated tractography was then applied. Tractography images and fractional anisotropy (FA) values in the corticospinal tract (CST) and arcuate fasciculus (AF) were assessed in relation to hemiparesis and aphasia. [Results] Patient 1 was nearly asymptomatic; FA in the left CST was 0.610 and that in the AF was 0.509. Patient 2 had severe hemiparesis and mild motor aphasia. Tractography images of the CST and AF were blurred; FA in the left CST was 0.295 and that in the AF was 0.304. Patient 3 showed no hemiparesis or aphasia at initial assessment. Tractography image of the CST was intact but that of the AF was less clear; FA in the left CST was 0.586 and that in the AF was 0.338. Considering the less clear images of the AF and lower FA value in Patients 2 and 3, further examinations for aphasia were performed, which revealed agraphia. [Conclusion] Visualization and quantification of neural fibers using automated tractography promoted planning acute care rehabilitative treatment in patients with stroke.

Balance Function after Balance Exercise Assist Robot Therapy in Patients Undergoing Allogeneic Hematopoietic Stem Cell Transplantation: A Pilot Study.

Objectives: This study compared the balance function in patients after allogeneic hematopoietic stem cell transplantation (allo-HSCT) with their balance function after subsequent training sessions with a Balance Exercise Assist Robot (BEAR). Methods: In this prospective observational study, inpatients who underwent allo-HSCT from human leukocyte antigen-mismatched relatives were enrolled from December 2015 to October 2017. Patients were allowed to leave their clean room after allo-HSCT and underwent balance exercise training using the BEAR. Sessions (20-40 min) were performed 5 days per week and consisted of three games that were performed four times each. A total of 15 sessions were performed by each patient. Patient balance function was assessed before BEAR therapy according to the mini-balance evaluation systems test (mini-BESTest), and patients were divided into two groups (Low and High) based on a 70% cut-off value for the total mini-BESTest score. Patient balance was also assessed after BEAR therapy. Results: Fourteen patients providing written informed consent fulfilled the protocol: six patients in the Low group, and eight patients in the High group. In the Low group, there was a statistically significant difference between pre- and post-evaluations in postural response, which a sub-item of the mini-BESTest. In the High group, there was no significant difference between pre- and post-evaluations in the mini-BESTest. Conclusions: BEAR sessions improve balance function in patients undergoing allo-HSCT.